Catherine A. Shipp

Pattern Analysis and Applications · 2002–2003

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Catherine A. Shipp trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ludmila I. Kuncheva
2. Robert P. W. Duin
3. James C. Bezdek
4. Tin Kam Ho
5. Anil K. Jain

Who trusts Catherine A. Shipp overall

1. Ludmila I. Kuncheva
2. Gavin Brown

Papers from Catherine A. Shipp's perspective

Ordered by how strongly the researchers Catherine A. Shipp trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
2. Statistical Pattern Recognition: A Review (IEEE Transactions on Pattern Analysis and Machine Intelligence)
3. Neural Network Ensembles, Cross Validation, and Active Learning
4. Limits on the majority vote accuracy in classifier fusion (Pattern Analysis and Applications)
5. Decision templates for multiple classifier fusion: an experimental comparison (Pattern Recognition)
6. Neural Networks for Pattern Recognition
7. Algorithms for Clustering Data
8. Programs for Machine Learning
9. A decision-theoretic generalization of on-line learning and an application to boosting
10. On Combining Classifiers

Their papers

• Limits on the majority vote accuracy in classifier fusion (2003) — 408 citations
• Relationships between combination methods and measures of diversity in combining classifiers (2002) — 306 citations